Desarrollo de modelos de datos SQL (MOC 20768)

3 Días

Descripción

El objetivo de este curso de 3 días dirigido por un instructor es crear soluciones de BI empresariales administradas. Describe cómo implementar modelos de datos multidimensionales y tabulares y cómo crear cubos, dimensiones, medidas y grupos de medida. Este curso lo ayuda a prepararse para el examen 70-768.

Requisitos previos

Antes de asistir a este curso, los estudiantes deben tener:

  • Experiencia de consultar datos usando Transact-SQL

A quien va dirigido

La audiencia principal de este curso son los profesionales de bases de datos que necesitan cumplir la función de desarrollador de BI para crear soluciones empresariales de BI.  
Las responsabilidades principales incluirán: 
• Implementación de bases de datos multidimensionales mediante el uso de SQL Server Analysis Services. 
• Creación de modelos de datos semánticos tabulares para su análisis mediante SQL Server Analysis Services.

Objetivos

Después de completar este curso, los estudiantes podrán:

  • Describir los componentes, la arquitectura y la naturaleza de una solución de BI
  • Crear una base de datos multidimensional con Analysis Services
  • Implementar dimensiones en un cubo
  • Implementar medidas y medir grupos en un cubo
  • Use la sintaxis MDX
  • Personaliza un cubo
  • Implementar una base de datos tabular
  • Use DAX para consultar un modelo tabular
  • Use la minería de datos para el análisis predictivo

Temario

Module 1: Introduction to Business Intelligence and Data Modeling

This module introduces key BI concepts and the Microsoft BI product suite.

Lessons 

  • Introduction to Business Intelligence
  • The Microsoft business intelligence platform

Lab : Exploring a BI Solution

  • Exploring a Data Warehouse
  • Exploring a data model

After completing this module, students will be able to:

  • Describe BI scenarios, trends, and project roles.
  • Describe the products that make up the Microsoft BI platform.

Module 2: Creating Multidimensional Databases

This module describes how to create multidimensional databases using SQL Server Analysis Services.

Lessons 

  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security
  • Configure SSAS
  • Monitoring SSAS

Lab : Creating a multidimensional database

  • Creating a Data Source
  • Creating and Modifying a data Source View
  • Creating and Modifying a Cube

After completing this module, you will be able to:

  • Describe considerations for a multidimensional database.

  • Create data sources and data source views.

  • Create a cube

  • Implement security in a multidimensional database.

  • Configure SSAS to meet requirements including memory limits, NUMA and disk layout.

  • Monitor SSAS performance.

Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

Lessons 

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Attributes
  • Slowly Changing Dimensions

Lab : Working with Cubes and Dimensions

  • Configuring Dimensions
  • Defining Relationships and Hierarchies
  • Sorting and Grouping Dimension Attributes

After completing this module, you will be able to:

  • Configure dimensions.

  • Define attribute hierarchies.

  • Implement sorting and grouping for attributes.

  • Implement slowly changing dimensions.

Module 4: Working with Measures and Measure Groups

This module describes how to implement measures and measure groups in a cube.

Lessons 

  • Working with Measures
  • Working with Measure Groups

Lab : Configuring Measures and Measure Groups

  • Configuring Measures
  • Defining Dimension Usage and Relationships
  • Configuring Measure Group Storage

After completing this module, you will be able to:

  • Configure measures.

  • Configure measure groups.

Module 5: Introduction to MDX

This module describes the MDX syntax and how to use MDX.

Lessons 

  • MDX fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube

Lab : Using MDX

  • Querying a cube using MDX
  • Creating a Calculated Member

After completing this module, you will be able to:

  • Use basic MDX functions.

  • Use MDX to add calculations to a cube.

  • Use MDX to query a cube.

Module 6: Customizing Cube Functionality

This module describes how to customize a cube.

Lessons

  • Introduction to Business Intelligence
  • The Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations

Lab : Customizing a Cube

  • Implementing a KPI
  • Implementing an action
  • Implementing a perspective
  • Implementing a translation

After completing this module, you will be able to:

  • Implement KPIs in a Multidimensional database

  • Implement Actions in a Multidimensional database

  • Implement perspectives in a Multidimensional database

  • Implement translations in a Multidimensional database

Module 7: Implementing a Tabular Data Model by Using Analysis Services

This module describes how to implement a tabular data model in Power Pivot.

Lessons

  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Lab : Working with an Analysis Services Tabular Data Model

  • Creating an Analysis Services Tabular Data Model
  • Configure Relationships and Attributes
  • Configuring Data Model for an Enterprise BI Solution.

After completing this module, students will be able to:

  • Describe tabular data models
  • Describe how to create a tabular data model
  • Use an Analysis Services Tabular Model in an enterprise BI solution

Module 8: Introduction to Data Analysis Expression (DAX

This module describes how to use DAX to create measures and calculated columns in a tabular data model.

Lessons

  • DAX Fundamentals
  • Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

Lab : Creating Calculated Columns and Measures by using DAX

  • Creating Calculated Columns
  • Creating Measures
  • Creating a KPI
  • Creating a Parent – Child Hierarchy

After completing this module, students will be able to:

  • Describe the key features of DAX
  • Create calculated columns and measures by using DAX

Module 9: Performing Predictive Analysis with Data Mining

This module describes how to use data mining for predictive analysis.

Lessons

  • Overview of Data Mining
  • Creating a Custom Data Mining Solution
  • Validating a Data Mining Model
  • Connecting to and Consuming a Data-Mining Model
  • Using the Data Mining add-in for Excel

Lab : Using Data Mining

  • Creating a Data Mining Structure and Model
  • Exploring Data Mining Models
  • Validating Data Mining Models
  • Consuming a Data Mining Model
  • Using the Excel Data Mining add-in

After completing this module, students will be able to:

  • Describe considerations for data mining
  • Create a data mining model
  • Validate a data mining model
  • Connect to a data-mining model
  • Use the data mining add-in for Excel